The Development of Walking Assistant Robot for the Elderly

Zhang, Lei; Cao, Qi; Leng, Chun Tao; Tang, Ao Lin; Shi, Fei

doi:10.4028/www.scientific.net/kem.467-469.1893

Cited by 7 publications

(3 citation statements)

References 8 publications

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“…Monitoring heart rate can enable to warn of an hazardous situation. 79 For this monitoring, different sensors can be used such as pulse sensor in the handles 79 or with photoplethysmography principle. 80 Then, monitoring physiological parameters can also be used for middle term applications, especially for rehabilitation.…”

Section: Monitoring Of Physiological Parameters Methodsmentioning

confidence: 99%

Smart walkers: an application-oriented review

et al. 2016

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SUMMARYIn this paper, a development method for smart walker prototypes is proposed. Development of such prototypes is based on technological choices and device evaluations. The method is aimed at guiding technological choices in a modular fashion. First, the method for choosing modules to be integrated in a smart walker is presented. Application-specific modules are then studied. Finally, the issues of evaluation are investigated. In order to work out this method, more than 50 smart walkers and their pros and cons with respect to the different studied applications are reviewed.

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Section: Monitoring Of Physiological Parameters Methodsmentioning

confidence: 99%

Smart walkers: an application-oriented review

et al. 2016

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“…Compared with the Walkmate I (Figure 1(c)) and the Walkmate II, mechanical structure and control system of Walkmate III has been improved and simplified for the elderly people. It integrated the advantages of Walkmate I and II (Zhang et al, 2011). The main body is composed of aluminum sections, which are strong enough while weight low.…”

Section: The Walkmate IIImentioning

confidence: 99%

“…A forward push on both the handle bars results in a forward motion, while a differential push-pull combination results in a rotary motion, which is in accord with the user's preconceived notion. The walking support system of Hitachi Ltd (Nemoto et al, 1998), WAR of Inha University (Shim et al, 2005(Shim et al, , 2007, Walkmate I and II (Shi et al, 2010;Zhang et al, 2011) also adapt this method: two force sensors are utilized to detect the applied pushing/ pulling forces. Walker developed by University of Virginia (Wasson et al, 2003) uses two six-DOF force/moment sensors and a digital motion capture system to infer the relations between applied forces/moments and the intent of the user.…”

Section: Introductionmentioning

confidence: 99%

Motion control of walking assistant robot based on comfort

Tang

Cao

2012

Industrial Robot

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Purpose -A walking assistant robot can help elderly people walk around independently, which could improve the life quality of the elderly and benefit our aging society. Ensuring the elderly person's walking comfort with such a robot is very important. At present, the majority of walking assistant robot research does not focus on this field. The purpose of this paper is to examine the requirements of comfortable walking and outline the design of a motion control algorithm for a walking assistant robot, Walkmate III, based on comfort. Design/methodology/approach -During walking, the walking assistant robot should be able to capture the intent of user, guide the user and move at the same pace as the user. Usually, force or haptic interface is used to detect the user's walking intention. The motion control system then transforms the forces applied by the user into the robot's motion. By surveying the elderly people at a nursing home, the authors find that this transformation is important to the walking comfortableness and should be carefully designed. In this paper, the model of walking assisting process with such kind of walking assistant robot is derived at first. Based on this model, a new motion control algorithm is then designed. Findings -The elderly hoped that, in all topographic conditions, only small forces were needed to drive the walker during walking. Also, good maneuverability was also very important for a walker, to offer the user comfort, which meant the walking assistant robot should be able to respond to the input forces quickly and precisely. Currently widely-used motion control algorithms cannot satisfy all those requirements. In this paper, a new motion control algorithm is proposed, which can get a fast and precise response to the input forces and the input forces needed to drive the robot are kept at a preferred small level, so that the user will not feel tired during walking. Furthermore, by modifying, force feedback can be realized to improve the comfortableness of walking. Practical implications -The availability of walking assistant robot with improved walking comfortableness might encourage a wider adoption of robotics in our daily life. It could also benefit our aging society by improving the life quality of the elderly and reducing the pressure deriving from nursing labor shortages. Originality/value -This paper is of value to engineers and researchers developing walking assistant robots for the elderly people.

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Research on the Falling Detection System for Elderly-assistant and Walking-assistant Robot

Wei

2019

J. Phys.: Conf. Ser.

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With the development of living standards, the problems caused by aging population have become more and more serious. At the same time, with the growth of age, the body function of the elderly is degenerating and the body flexibility is reducing, which leads to frequently occurring of falling in elderly. The research data shows that falls are the most common and unpredictable problem for old people, which are even life-threatening. Therefore, a falling detection system used in the walking-assistant robot is proposed to make the walking-assistant robot better service during the outdoor walking. Firstly, a general design plan of the falling detection for old people, which is used in walking-assistant robot, is introduced through the analysis of falling mechanism of elderly. Then, a acceleration sensor ADXL345 and the detection module of touch pressure sensors are used to collect data of acceleration and hand touch force of users. Next, the feature extraction is carried out on the above data, and the falling detection is delivered by time domain feature representation and recognition algorithm. At last, the test system is built for test verification, and the results show that the falling detection system has a stable and reliable performance and high detection accuracy rate, reaching 99.05%. It can detect the falling of elderly effectively.

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The Development of Walking Assistant Robot for the Elderly

Cited by 7 publications

References 8 publications

Smart walkers: an application-oriented review

Smart walkers: an application-oriented review

Motion control of walking assistant robot based on comfort

Research on the Falling Detection System for Elderly-assistant and Walking-assistant Robot

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